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MULTI-RESOLUTION ANALYSIS FOR MEDICAL IMAGE COMPRESSION

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Author(s): Mohammed Alhanjouri

Journal: International Journal of Computer Science & Information Technology
ISSN 0975-4660

Volume: 3;
Issue: 6;
Start page: 215;
Date: 2012;
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Keywords: Wave-atom | Curvelet | Wavelet | Medical image compression | Compression Ratio.

ABSTRACT
The improvement in image compression filed is mainly related to the need of rapid and efficienttechniques for the storage and transmission of data among individuals. To obtain the maximalcapabilities of storage and transmission, different compression algorithms should be compared to find theoptimal technique for medical image compression.This work examines the coding properties of the Wavelet, Curvelet, and wave-atom transforms as multiresolutionanalysis techniques. Also the comparative study is introduced to determine the best techniquefor medical image compression. MRI and CT are the images that used to achieve this work. Manyparameters should be study for each technique to accomplish the best performance for each one.In this work, Wave-atom is stated as the best multi-resolution analysis technique for image compressionapplications.
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